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| 8:15–9:15 | Advanced data visualizations with Stata part V: Hierarchical data
Abstract:
This presentation will focus on visualizing complex hierarchical
relational datasets through a suite of new packages, including
sankey, alluvial, treemap, circlepack,
circlebar, and sunburst.
Additional information:
Asjad Naqvi
Austrian Institute of Economic Research (WIFO),
International Institute for Applied Systems Analysis (IIASA), and
Vienna University of Economics and Business (WI)
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| 9:15–9:55 | Influence analysis with panel data using Stata
Abstract:
The presence of anomalous observations in a dataset can
severely affect least-squares estimates that are, by
construction, sensitive to extreme cases.
This presentation formalizes statistical measures to quantify
the degree of leverage and outlyingness of units in a panel-data
framework and outlines the two community-contributed commands used to
conduct the proposed influence analysis.
Additional information:
Annalivia Polselli
University of Essex
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| 9:55–10:55 | Introduction to difference in differences in Stata 17
Abstract:
Stata 17 introduced two commands to fit
difference-in-differences (DID) and
difference-in-difference-in-differences (DDD) models.
This presentation will briefly introduce the concepts and jargon
of DID and DDD models and then show how to fit the models by
using the new commands.
Additional information:
Chuck Huber
StataCorp
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| 10:55–11:35 | Rolling estimation methods for staggered difference in differences
Abstract:
This presentation will discuss relatively efficient regression,
propensity-score, and doubly robust estimation methods in
settings with staggered policy interventions. The estimators and
standard errors can be obtained using existing Stata commands.
Additional information:
Jeffrey M. Wooldridge
Michigan State University
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| 11:35–12:25 | Panel discussion
Stata authors' tips with Colin Cameron (UC Davis), Demetris Christodoulou (University of Sydney) and Irma Mooi-Reci (University of Melbourne)
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| 12:50–1:20 | Open panel discussion with Stata developers
Contribute to the Stata community by sharing your feedback with StataCorp's developers. From feature improvements to bug fixes and new ways to analyze data, we want to hear how Stata can be made better for our users.
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| 1:20–1:50 | Building connected dashboards using Stata
Abstract:
Dashboards have become essential tools for business managers
to understand their performance, the issues they face, and the
risks just around the corner.
In this presentation, we will show how Stata can create a
dashboard and make it accessible to people in a company or
an organization. We use tools already available in Stata to
extract data from an organizational database, analyze the
data in Stata, and make the analyzed information available in
an interactive dashboard.
Contributor:
David White
Survey Design and Analysis Services
Additional information:
Laura Whiting
Survey Design and Analysis Services
|
| 1:50–2:20 | Stata coding practice in economics: A survey and recommendations
Abstract:
This presentation reviews the style of scripts or
code used for data analysis with Stata in applied economics
research and provides recommendations for the creation of
higher-quality code.
Additional information:
Joe Hirschberg
University of Melbourne
|
| 2:20–2:50 | How plots helped solve the mystery of the interrupted time-series aggregation bias
Abstract:
Interrupted time-series (ITS) designs are often used to evaluate
the impact of public health interventions targeted at
populations.
This presentation argues that, when aggregating ITS observations over
time, correction to the level change estimate may be required to
avoid aggregation bias; it also argues that plots are effective methods
for identifying, understanding, and providing potential
solutions for unexpected results in numerical simulation
studies.
Additional information:
Simon Turner
Cochrane Australia and Monash University
|
| 2:50–3:20 | Plot suite: Fast graphing commands for very large datasets
Abstract:
This presentation will showcase the functionality of the
heavily updated plot suite of graphing commands.
The suite excels in visualizing very large datasets, enabling
users to produce a variety of highly customizable plots in a
fraction of the time required by Stata's native graphing commands.
Additional information:
Jan Kabatek
Melbourne Institute
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Susanna Cramb Queensland University of Technology |
John de New The University of Melbourne |
Mathias Sinning Australian National University |
The logistics organizer for the 2023 Oceania Stata Conference is Survey Design and Analysis Services (SDAS), the distributor of Stata in Australia, Indonesia, and New Zealand.
View the proceedings of previous Stata Conferences and Users Group meetings.
